{"id":"https://openalex.org/W3155371252","doi":"https://doi.org/10.1109/tnnls.2021.3070840","title":"Degradation Alignment in Remaining Useful Life Prediction Using Deep Cycle-Consistent Learning","display_name":"Degradation Alignment in Remaining Useful Life Prediction Using Deep Cycle-Consistent Learning","publication_year":2021,"publication_date":"2021-04-14","ids":{"openalex":"https://openalex.org/W3155371252","doi":"https://doi.org/10.1109/tnnls.2021.3070840","mag":"3155371252","pmid":"https://pubmed.ncbi.nlm.nih.gov/33852404"},"language":"en","primary_location":{"id":"doi:10.1109/tnnls.2021.3070840","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnnls.2021.3070840","pdf_url":null,"source":{"id":"https://openalex.org/S4210175523","display_name":"IEEE Transactions on Neural Networks and Learning Systems","issn_l":"2162-237X","issn":["2162-237X","2162-2388"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Neural Networks and Learning Systems","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100631401","display_name":"Xiang Li","orcid":"https://orcid.org/0000-0003-0569-2176"},"institutions":[{"id":"https://openalex.org/I9224756","display_name":"Northeastern University","ror":"https://ror.org/03awzbc87","country_code":"CN","type":"education","lineage":["https://openalex.org/I9224756"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xiang Li","raw_affiliation_strings":["Key Laboratory of Vibration and Control of Aero-Propulsion System Ministry of Education, Northeastern University, Shenyang, China","State Key Laboratory of Rolling and Automation, Northeastern University, Shenyang, China","College of Sciences, Northeastern University, Shenyang, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Vibration and Control of Aero-Propulsion System Ministry of Education, Northeastern University, Shenyang, China","institution_ids":["https://openalex.org/I9224756"]},{"raw_affiliation_string":"State Key Laboratory of Rolling and Automation, Northeastern University, Shenyang, China","institution_ids":["https://openalex.org/I9224756"]},{"raw_affiliation_string":"College of Sciences, Northeastern University, Shenyang, China","institution_ids":["https://openalex.org/I9224756"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101561578","display_name":"Zhang We","orcid":"https://orcid.org/0000-0001-6478-3110"},"institutions":[{"id":"https://openalex.org/I162868743","display_name":"Tianjin University","ror":"https://ror.org/012tb2g32","country_code":"CN","type":"education","lineage":["https://openalex.org/I162868743"]},{"id":"https://openalex.org/I125904092","display_name":"Shenyang Aerospace University","ror":"https://ror.org/02423gm04","country_code":"CN","type":"education","lineage":["https://openalex.org/I125904092"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Zhang","raw_affiliation_strings":["School of Aerospace Engineering, Shenyang Aerospace University, Shenyang, China","Department of Mechanics, Tianjin University, Tianjin, China"],"affiliations":[{"raw_affiliation_string":"School of Aerospace Engineering, Shenyang Aerospace University, Shenyang, China","institution_ids":["https://openalex.org/I125904092"]},{"raw_affiliation_string":"Department of Mechanics, Tianjin University, Tianjin, China","institution_ids":["https://openalex.org/I162868743"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5086677714","display_name":"Hui Ma","orcid":"https://orcid.org/0000-0002-9812-0806"},"institutions":[{"id":"https://openalex.org/I9224756","display_name":"Northeastern University","ror":"https://ror.org/03awzbc87","country_code":"CN","type":"education","lineage":["https://openalex.org/I9224756"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hui Ma","raw_affiliation_strings":["Key Laboratory of Vibration and Control of Aero-Propulsion System Ministry of Education, School of Mechanical Engineering and Automation, Northeastern University, Shenyang, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Vibration and Control of Aero-Propulsion System Ministry of Education, School of Mechanical Engineering and Automation, Northeastern University, Shenyang, China","institution_ids":["https://openalex.org/I9224756"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100693520","display_name":"Zhong Luo","orcid":"https://orcid.org/0000-0002-0701-6123"},"institutions":[{"id":"https://openalex.org/I9224756","display_name":"Northeastern University","ror":"https://ror.org/03awzbc87","country_code":"CN","type":"education","lineage":["https://openalex.org/I9224756"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhong Luo","raw_affiliation_strings":["Key Laboratory of Vibration and Control of Aero-Propulsion System Ministry of Education, School of Mechanical Engineering and Automation, Northeastern University, Shenyang, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Vibration and Control of Aero-Propulsion System Ministry of Education, School of Mechanical Engineering and Automation, Northeastern University, Shenyang, China","institution_ids":["https://openalex.org/I9224756"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100342472","display_name":"Xu Li","orcid":"https://orcid.org/0000-0002-7992-6732"},"institutions":[{"id":"https://openalex.org/I9224756","display_name":"Northeastern University","ror":"https://ror.org/03awzbc87","country_code":"CN","type":"education","lineage":["https://openalex.org/I9224756"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xu Li","raw_affiliation_strings":["Key Laboratory of Vibration and Control of Aero-Propulsion System Ministry of Education, Northeastern University, Shenyang, China","State Key Laboratory of Rolling and Automation, Northeastern University, Shenyang, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Vibration and Control of Aero-Propulsion System Ministry of Education, Northeastern University, Shenyang, China","institution_ids":["https://openalex.org/I9224756"]},{"raw_affiliation_string":"State Key Laboratory of Rolling and Automation, Northeastern University, Shenyang, China","institution_ids":["https://openalex.org/I9224756"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5100631401"],"corresponding_institution_ids":["https://openalex.org/I9224756"],"apc_list":null,"apc_paid":null,"fwci":12.054,"has_fulltext":false,"cited_by_count":89,"citation_normalized_percentile":{"value":0.9939667,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":100},"biblio":{"volume":"33","issue":"10","first_page":"5480","last_page":"5491"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10780","display_name":"Reliability and Maintenance Optimization","score":0.9993000030517578,"subfield":{"id":"https://openalex.org/subfields/2213","display_name":"Safety, Risk, Reliability and Quality"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10780","display_name":"Reliability and Maintenance Optimization","score":0.9993000030517578,"subfield":{"id":"https://openalex.org/subfields/2213","display_name":"Safety, Risk, Reliability and Quality"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10220","display_name":"Machine Fault Diagnosis Techniques","score":0.9988999962806702,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12169","display_name":"Non-Destructive Testing Techniques","score":0.9776999950408936,"subfield":{"id":"https://openalex.org/subfields/2210","display_name":"Mechanical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/degradation","display_name":"Degradation (telecommunications)","score":0.7430241107940674},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6695061922073364},{"id":"https://openalex.org/keywords/perspective","display_name":"Perspective (graphical)","score":0.6135651469230652},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5351797938346863},{"id":"https://openalex.org/keywords/data-set","display_name":"Data set","score":0.5335457921028137},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.5327157378196716},{"id":"https://openalex.org/keywords/scheme","display_name":"Scheme (mathematics)","score":0.5013248920440674},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4999573230743408},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.45012402534484863},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.44843852519989014},{"id":"https://openalex.org/keywords/training-set","display_name":"Training set","score":0.4445821940898895},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.39433079957962036},{"id":"https://openalex.org/keywords/reliability-engineering","display_name":"Reliability engineering","score":0.3546310067176819},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.2221093773841858},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.09346896409988403}],"concepts":[{"id":"https://openalex.org/C2779679103","wikidata":"https://www.wikidata.org/wiki/Q5251805","display_name":"Degradation (telecommunications)","level":2,"score":0.7430241107940674},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6695061922073364},{"id":"https://openalex.org/C12713177","wikidata":"https://www.wikidata.org/wiki/Q1900281","display_name":"Perspective (graphical)","level":2,"score":0.6135651469230652},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5351797938346863},{"id":"https://openalex.org/C58489278","wikidata":"https://www.wikidata.org/wiki/Q1172284","display_name":"Data set","level":2,"score":0.5335457921028137},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.5327157378196716},{"id":"https://openalex.org/C77618280","wikidata":"https://www.wikidata.org/wiki/Q1155772","display_name":"Scheme (mathematics)","level":2,"score":0.5013248920440674},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4999573230743408},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.45012402534484863},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.44843852519989014},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.4445821940898895},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.39433079957962036},{"id":"https://openalex.org/C200601418","wikidata":"https://www.wikidata.org/wiki/Q2193887","display_name":"Reliability engineering","level":1,"score":0.3546310067176819},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.2221093773841858},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.09346896409988403},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true}],"locations_count":2,"locations":[{"id":"doi:10.1109/tnnls.2021.3070840","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnnls.2021.3070840","pdf_url":null,"source":{"id":"https://openalex.org/S4210175523","display_name":"IEEE Transactions on Neural Networks and Learning Systems","issn_l":"2162-237X","issn":["2162-237X","2162-2388"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Neural Networks and Learning Systems","raw_type":"journal-article"},{"id":"pmid:33852404","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/33852404","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on neural networks and learning systems","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5600000023841858,"display_name":"Responsible consumption and production","id":"https://metadata.un.org/sdg/12"}],"awards":[{"id":"https://openalex.org/G1523570051","display_name":null,"funder_award_id":"N180708009","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G4227365320","display_name":null,"funder_award_id":"2019M651032","funder_id":"https://openalex.org/F4320321543","funder_display_name":"China Postdoctoral Science Foundation"},{"id":"https://openalex.org/G4444317684","display_name":null,"funder_award_id":"N2005010","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G5585441671","display_name":null,"funder_award_id":"VCAME201906","funder_id":"https://openalex.org/F4320315682","funder_display_name":"Northeastern University"},{"id":"https://openalex.org/G6058643909","display_name":null,"funder_award_id":"2019-BS-184","funder_id":"https://openalex.org/F4320327473","funder_display_name":"Department of Science and Technology of Liaoning Province"},{"id":"https://openalex.org/G6843217402","display_name":null,"funder_award_id":"52005086","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8046107427","display_name":null,"funder_award_id":"2020-BS-048","funder_id":"https://openalex.org/F4320327473","funder_display_name":"Department of Science and Technology of Liaoning Province"},{"id":"https://openalex.org/G8554071516","display_name":null,"funder_award_id":"11902202","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320315682","display_name":"Northeastern University","ror":"https://ror.org/04t5xt781"},{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320321543","display_name":"China Postdoctoral Science Foundation","ror":"https://ror.org/0426zh255"},{"id":"https://openalex.org/F4320327473","display_name":"Department of Science and Technology of Liaoning Province","ror":"https://ror.org/02f09cx53"},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":47,"referenced_works":["https://openalex.org/W1926639317","https://openalex.org/W1988655998","https://openalex.org/W2005523062","https://openalex.org/W2007952268","https://openalex.org/W2033800551","https://openalex.org/W2053443947","https://openalex.org/W2054570131","https://openalex.org/W2057018442","https://openalex.org/W2078098002","https://openalex.org/W2110787940","https://openalex.org/W2113862810","https://openalex.org/W2120841219","https://openalex.org/W2163922914","https://openalex.org/W2342958238","https://openalex.org/W2415594836","https://openalex.org/W2471161958","https://openalex.org/W2473294140","https://openalex.org/W2558869916","https://openalex.org/W2564947831","https://openalex.org/W2582337578","https://openalex.org/W2591055632","https://openalex.org/W2594845301","https://openalex.org/W2612484771","https://openalex.org/W2744067593","https://openalex.org/W2772084711","https://openalex.org/W2791939925","https://openalex.org/W2792018332","https://openalex.org/W2803884688","https://openalex.org/W2891319189","https://openalex.org/W2896451001","https://openalex.org/W2900438754","https://openalex.org/W2904218127","https://openalex.org/W2906578288","https://openalex.org/W2912073957","https://openalex.org/W2922718228","https://openalex.org/W2943154646","https://openalex.org/W2945002553","https://openalex.org/W2955033741","https://openalex.org/W2962793481","https://openalex.org/W2962808524","https://openalex.org/W2963863119","https://openalex.org/W2964627014","https://openalex.org/W2966134984","https://openalex.org/W2975761873","https://openalex.org/W2995758361","https://openalex.org/W3016665419","https://openalex.org/W6746282794"],"related_works":["https://openalex.org/W4375867731","https://openalex.org/W3000197790","https://openalex.org/W2786391746","https://openalex.org/W2991483587","https://openalex.org/W4381430104","https://openalex.org/W2995102745","https://openalex.org/W4226059458","https://openalex.org/W2914559142","https://openalex.org/W1990237101","https://openalex.org/W3196471634"],"abstract_inverted_index":{"Due":[0],"to":[1,60,83],"the":[2,24,44,53,61,90,114,134],"benefits":[3],"of":[4,65,92],"reduced":[5],"maintenance":[6],"cost":[7],"and":[8,39,56,119,145],"increased":[9],"operational":[10],"safety,":[11],"effective":[12],"prognostic":[13,143],"methods":[14,46],"have":[15,35],"always":[16],"been":[17,36],"highly":[18],"demanded":[19],"in":[20,95],"real":[21],"industries.":[22],"In":[23],"recent":[25],"years,":[26],"intelligent":[27],"data-driven":[28,142],"remaining":[29],"useful":[30],"life":[31],"(RUL)":[32],"prediction":[33,75,121],"approaches":[34],"successfully":[37],"developed":[38],"achieved":[40],"promising":[41,147],"performance.":[42],"However,":[43],"existing":[45],"mostly":[47],"set":[48,131],"hard":[49],"RUL":[50,74,120,150],"labels":[51],"on":[52,126,141],"training":[54],"data":[55,91,130],"pay":[57],"less":[58],"attention":[59],"degradation":[62,97,116,129],"pattern":[63],"variations":[64],"different":[66,93],"entities.":[67],"This":[68],"article":[69],"proposes":[70],"a":[71,85,127,138,146],"deep":[72],"learning-based":[73],"method.":[76],"The":[77,123],"cycle-consistent":[78],"learning":[79],"scheme":[80],"is":[81,109],"proposed":[82,135],"achieve":[84],"new":[86],"representation":[87],"space,":[88],"where":[89],"entities":[94],"similar":[96],"levels":[98],"can":[99],"be":[100],"well":[101],"aligned.":[102],"A":[103],"first":[104],"predicting":[105],"time":[106],"determination":[107],"approach":[108],"further":[110],"proposed,":[111],"which":[112],"facilitates":[113],"following":[115],"percentage":[117],"estimation":[118],"tasks.":[122],"experimental":[124],"results":[125],"popular":[128],"suggest":[132],"that":[133],"method":[136],"offers":[137],"novel":[139],"perspective":[140],"studies":[144],"tool":[148],"for":[149],"estimations.":[151]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":14},{"year":2024,"cited_by_count":12},{"year":2023,"cited_by_count":30},{"year":2022,"cited_by_count":23},{"year":2021,"cited_by_count":7}],"updated_date":"2026-02-27T16:54:17.756197","created_date":"2025-10-10T00:00:00"}